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Photo-Taking Point Recommendation with Nested Clustering

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3 Author(s)
Kimura, K. ; Ritsumeikan Univ., Kusatsu, Japan ; Hung-Hsuan Huang ; Kawagoe, K.

In this paper, we propose a novel recommendation method for photo-taking points from a large amount of social community photo collections. There are many research activities on photo-related recommendations from a lot of photos stored and managed by photo sharing web services, such as Flickr, Picas a and Panoramio, Although some methods, such as landmark recommendation, tag recommendation and photo recommendation have already been proposed, no photo-taking point recommendation methods have been realized yet for social photo collections. In order to realize photo-taking point recommendation, we introduce a novel point and photo selection method based on nested clustering. From our experiments, it is shown that better recommendation accuracy with our proposed method can be attained.

Published in:

Multimedia (ISM), 2012 IEEE International Symposium on

Date of Conference:

10-12 Dec. 2012